An inferential processor for interacting with biomedical data using restricted natural language
AFIPS '72 (Spring) Proceedings of the May 16-18, 1972, spring joint computer conference
An information processing approach to theory formation in biomedical research
AFIPS '72 (Spring) Proceedings of the May 16-18, 1972, spring joint computer conference
STRIPS: a new approach to the application of theorem proving to problem solving
IJCAI'71 Proceedings of the 2nd international joint conference on Artificial intelligence
D-SCRIPT: a computational theory of descriptions
IJCAI'73 Proceedings of the 3rd international joint conference on Artificial intelligence
Language processing via canonical verbs and semantic models
IJCAI'73 Proceedings of the 3rd international joint conference on Artificial intelligence
Semantic modeling for deductive question-answering
IJCAI'73 Proceedings of the 3rd international joint conference on Artificial intelligence
IJCAI'73 Proceedings of the 3rd international joint conference on Artificial intelligence
Planning in a hierarchy of abstraction spaces
IJCAI'73 Proceedings of the 3rd international joint conference on Artificial intelligence
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KAL (Knowledge Acquisition Languaqe) is a language intended not for programming but for the expression of qualitative scientific knowledge. It is designed to accommodate both the semantic constructs most frequently found in scientific text (at present, excluding the description of change) and the knowledge storage and retrieval mechanisms of languages like CONNIVER, in which it may be implemented. Emphasis is placed on using "real" text, and in interacting with scientists (particularly biologists) to discover their particular needs. Though KAL is English-like, most natural languages could be substituted with no difficulty.